Evidence map›Paper›PMID 28008000›Full record

ArticleBrain : a journal of neurology2017

Stroke outcomes are worse with larger leukoaraiosis volumes.

Wi-Sun Ryu, Sung-Ho Woo, Dawid Schellingerhout, Min Uk Jang, Kyoung-Jong Park, Keun-Sik Hong, Sang-Wuk Jeong, Jeong-Yong Na, Ki-Hyun Cho, Joon-Tae Kim and 20 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Wi-Sun Ryu1 Stroke Centre and Korean Brain MRI Data Centre, Dongguk University Ilsan Hospital, Korea.
Sung-Ho Woo1 Stroke Centre and Korean Brain MRI Data Centre, Dongguk University Ilsan Hospital, Korea.
Dawid Schellingerhout2 Departments of Radiology and Cancer Systems Imaging, University of Texas M. D. Anderson Cancer Centre, USA.
Min Uk Jang3 Department of Neurology, Chuncheon Sacred Heart Hospital, Korea.
Kyoung-Jong Park4 WeBace Co., Ltd., Korea.
Keun-Sik Hong5 Department of Neurology, Ilsan Paik Hospital, Korea.
Sang-Wuk Jeong1 Stroke Centre and Korean Brain MRI Data Centre, Dongguk University Ilsan Hospital, Korea.
Jeong-Yong Na1 Stroke Centre and Korean Brain MRI Data Centre, Dongguk University Ilsan Hospital, Korea.
Ki-Hyun Cho6 Department of Neurology, Chonnam National University Hospital, Korea.
Joon-Tae Kim6 Department of Neurology, Chonnam National University Hospital, Korea.
Beom Joon Kim7 Department of Neurology, Seoul National University Bundang Hospital, Korea.
Moon-Ku Han7 Department of Neurology, Seoul National University Bundang Hospital, Korea.
Jun Lee8 Department of Neurology, Yeungnam University Hospital, Korea.
Jae-Kwan Cha9 Department of Neurology, Dong-A University Hospital, Korea.
Dae-Hyun Kim9 Department of Neurology, Dong-A University Hospital, Korea.
Soo Joo Lee10 Department of Neurology, Eulji University Hospital, Korea.
Youngchai Ko10 Department of Neurology, Eulji University Hospital, Korea.
Yong-Jin Cho5 Department of Neurology, Ilsan Paik Hospital, Korea.
Byung-Chul Lee11 Department of Neurology, Hallym University Sacred Heart Hospital, Korea.
Kyung-Ho Yu11 Department of Neurology, Hallym University Sacred Heart Hospital, Korea.
Mi Sun Oh11 Department of Neurology, Hallym University Sacred Heart Hospital, Korea.
Jong-Moo Park12 Department of Neurology, Eulji General Hospital, Korea.
Kyusik Kang12 Department of Neurology, Eulji General Hospital, Korea.
Kyung Bok Lee13 Department of Neurology, Soonchunhyang University Hospital, Korea.
Tai Hwan Park14 Department of Neurology, Seoul Medical Centre, Korea.
Juneyoung Lee15 Department of Biostatistics, Korea University College of Medicine, Korea.
Heung-Kook Choi16 Department of Computer Science, Inje University, Korea.
Kiwon Lee17 Departments of Neurology and Neurosurgery, The University of Texas Health Science Centre, USA.
Hee-Joon Bae7 Department of Neurology, Seoul National University Bundang Hospital, Korea kdongeog@duih.org braindoc@snu.ac.kr.
Dong-Eog Kim1 Stroke Centre and Korean Brain MRI Data Centre, Dongguk University Ilsan Hospital, Korea kdongeog@duih.org braindoc@snu.ac.kr.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Leukoaraiosis or white matter hyperintensities are frequently observed on magnetic resonance imaging of stroke patients. We investigated how white matter hyperintensity volumes affect stroke outcomes, generally and by subtype. In total, 5035 acute ischaemic stroke patients were enrolled. Strokes were classified as large artery atherosclerosis, small vessel occlusion, or cardioembolism. White matter hyperintensity volumes were stratified into quintiles. Mean age (± standard deviation) was 66.3 ± 12.8, 59.6% male. Median (interquartile range) modified Rankin Scale score was 2 (1-3) at discharge and 1 (0-3) at 3 months; 16.5% experienced early neurological deterioration, and 3.3% recurrent stroke. The Cochran-Mantel-Haenszel test with adjustment for age, stroke severity, sex, and thrombolysis status showed that the distributions of 3-month modified Rankin Scale scores differed across white matter hyperintensity quintiles (P < 0.001). Multiple ordinal logistic regression analysis showed that higher white matter hyperintensity quintiles were independently associated with worse 3-month modified Rankin Scale scores; adjusted odds ratios (95% confidence interval) for the second to fifth quintiles versus the first quintile were 1.29 (1.10-1.52), 1.40 (1.18-1.66), 1.69 (1.42-2.02) and 2.03 (1.69-2.43), respectively. For large artery atherosclerosis (39.0%), outcomes varied by white matter hyperintensity volume (P = 0.01, Cochran-Mantel-Haenszel test), and the upper three white matter hyperintensity quintiles (versus the first quintile) had worse 3-month modified Rankin Scale scores; adjusted odds ratios were 1.45 (1.10-1.90), 1.86 (1.41-2.47), and 1.89 (1.41-2.54), respectively. Patients with large artery atherosclerosis were vulnerable to early neurological deterioration (19.4%), and the top two white matter hyperintensity quintiles were more vulnerable still: 23.5% and 22.3%. Moreover, higher white matter hyperintensities were associated with poor modified Rankin Scale improvement: adjusted odds ratios for the upper two quintiles versus the first quintile were 0.66 (0.47-0.94) and 0.62 (0.43-0.89), respectively. For small vessel occlusion (17.8%), outcomes tended to vary by white matter hyperintensitiy volume (P = 0.10, Cochran-Mantel-Haenszel test), and the highest quintile was associated with worse 3-month modified Rankin Scale scores: adjusted odds ratio for the fifth quintile versus first quintile, 1.98 (1.23-3.18). In this subtype, worse white matter hyperintensities were associated with worse National Institute of Health Stroke Scale scores at presentation. For cardioembolism (20.6%), outcomes did not vary significantly by white matter hyperintensity volume (P = 0.19, Cochran-Mantel-Haenszel test); however, the adjusted odds ratio for the highest versus lowest quintiles was 1.62 (1.09-2.40). Regardless of stroke subtype, white matter hyperintensities were not associated with stroke recurrence within 3 months of follow-up. In conclusion, white matter hyperintensity volume independently correlates with stroke outcomes in acute ischaemic stroke. There are some suggestions that stroke outcomes may be affected by leukoaraiosis differentially depending on stroke subtypes, to be confirmed in future investigations.

Indexed as

Brain IschemiaOutcome Assessment, Health CareSeverity of Illness IndexStrokeAgedFemaleHumansLeukoaraiosisMagnetic Resonance ImagingMaleMiddle Agedischaemic strokemagnetic resonance imageoutcomewhite matter hyperintensities

Identifiers

PMID28008000
PMCPMC6276917

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.